Triple
T10293532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobey Marshall |
E241424
|
entity |
| Predicate | hasAlly |
P600
|
FINISHED |
| Object |
Finn
Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
|
E855877
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Finn | Statement: [Tobey Marshall, hasAlly, Finn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finn Context triple: [Tobey Marshall, hasAlly, Finn]
-
A.
Finn
Finn is a central character in the Star Wars sequel trilogy, a former stormtrooper who defects from the First Order and joins the Resistance.
-
B.
Finn
Finn is a masculine given name of Old Norse and Irish origin, commonly used in Scandinavian and English-speaking countries.
-
C.
Finn McMissile
Finn McMissile is a suave British spy car from Pixar's Cars franchise, known for his gadget-filled design and key role in Cars 2.
-
D.
Finn the Human
Finn the Human is the brave, adventurous boy hero and primary protagonist of the animated television series Adventure Time.
-
E.
Olaf
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Finn Triple: [Tobey Marshall, hasAlly, Finn]
Generated description
Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Finn Target entity description: Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
-
A.
Finn
Finn is a central character in the Star Wars sequel trilogy, a former stormtrooper who defects from the First Order and joins the Resistance.
-
B.
Finn
Finn is a masculine given name of Old Norse and Irish origin, commonly used in Scandinavian and English-speaking countries.
-
C.
Finn McMissile
Finn McMissile is a suave British spy car from Pixar's Cars franchise, known for his gadget-filled design and key role in Cars 2.
-
D.
Finn the Human
Finn the Human is the brave, adventurous boy hero and primary protagonist of the animated television series Adventure Time.
-
E.
Olaf
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d46fb08190b7694290692e47dc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1c180481909ca9983e14cbb931 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d73182d7548190ac15093aa7001db7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7336c06308190ac72154134a26842 |
completed | April 9, 2026, 5:04 a.m. |
Created at: April 6, 2026, 11:42 a.m.